The rapid rise of e-bikes presents an opportunity to enhance urban mobility. However, unlike the automotive sector, the cycling industry lacks real-time, connected data insights. The Spinovate project, led by See.Sense, aims to address this gap by leveraging AI-powered sensor technology to create a fully connected cycling ecosystem. This initiative will generate valuable data on rider behaviour, safety, and infrastructure conditions to improve cycling experiences, drive commercial innovation, and support city planning. Data gaps in urban cycling / Cities across Europe are striving to reduce congestion, lower emissions, and promote active travel. Yet, traditional cycling data sources—such as census data, fixed counters, and accident reports—offer incomplete insights. These methods often lack key metrics, such as near-miss incidents and road surface conditions. This provides outdated information, limiting their use for real-time decision-making, and cannot track individual rider behaviour beyond basic GPS tracking. (....)